多项式型混合模式CNN中耦合的实现

Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications Pub Date : 2002-07-22 DOI:10.1109/CNNA.2002.1035079

M. Laiho, A. Paasio, A. Kananen, K. Halonen

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引用次数: 9

摘要

本文分析了多项式型混合模细胞神经网络(CNN)中细胞间耦合的实现。模拟乘法器和多项式电路需要一个象限运算，因为在混合模式CNN中扩展到四象限运算可以以数字方式完成。利用HSPICE对一象限乘法器进行了分析和仿真。此外，还分析了产生单元输出的二阶和三阶多项式项的电路，并进行了HSPICE仿真。

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Realization of couplings in a polynomial type mixed-mode CNN

In this paper realization of couplings between cells in a polynomial type mixed-mode cellular neural network (CNN) is analyzed. One quadrant operation is required from the analog multipliers and polynomial circuits because in a mixed-mode CNN extension to four quadrant operation can be done digitally. A one quadrant multiplier is analyzed and simulated with HSPICE. Furthermore, circuits for generating second and third order polynomial terms of cell output are analyzed and HSPICE simulations are shown.

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Proceedings of the 2002 7th IEEE International Workshop on Cellular Neural Networks and Their Applications

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